What do the hot threads look like while the query is running?
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/cluster-nodes-hot-threads.html

On Tue, Feb 24, 2015 at 4:28 PM, Octavian <[email protected]>
wrote:

> Hello,
>
> I have a problem with the performance of aggregations: The time of the
> aggregation is very worst.
>
> I'm doing the next aggregation over an index with 160M documents (16G of
> data).
>
> {
>   "query": {
>     "filtered": {
>       "filter": {
>         "range": {
>           "_cache": false,
>           "insert_date": {
>             "gte": 1424790449432
>           }
>         }
>       }
>     }
>   },
>   "aggs": {
>     "tag": {
>       "terms": {
>         "field": "origin_ip"
>       }
>     }
>   }
> }
>
> Time: 18s. No results found (The result is correct. There are no documents
> with insert_date greater than 1424790449432)
>
> However if I'm doing the next search:
> {
>   "query": {
>     "filtered": {
>       "filter": {
>         "range": {
>           "_cache": false,
>           "insert_date": {
>             "gte": 1424790449432
>           }
>         }
>       }
>     }
>   }
> }
>
> Time: 7ms  . No results found. (As I already wrote, the result is correct).
>
> What is happening?
>
> In documentation (
> http://www.elasticsearch.org/guide/en/elasticsearch/guide/current/_filtered_query.html),
> it is written :"The query (which happens to include a filter) returns a
> certain subset of documents, and the aggregation operates on those
> documents."
>
> In my situation, there are no elements in the subset of documents returned
> by the filter, so the aggregation should run in the same amount of time
> like the search.
>
> So, how can I improve the performance of that aggregation?
>
> Thank you,
>
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-- 
Adrien Grand

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